Instructions to use Tron21/roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tron21/roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tron21/roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tron21/roberta-large") model = AutoModelForSequenceClassification.from_pretrained("Tron21/roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a41ea08619611377437617c6ac7e67915a21b01f294969803d53612ffd7a33f9
- Size of remote file:
- 135 Bytes
- SHA256:
- a8cfc5507bf55efc68b682d2b2258bec556e9689d40ed387bb54996f2bb73b0e
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